It's important for a robot not just to learn a task optimally, but to complete it without going off the rails of reasonable expectations. Until now, roboticists could have one or the other. Aerospace ...

Spread the loveLook, the writing’s on the wall, isn’t it? Artificial intelligence isn’t some distant sci-fi fantasy anymore; it’s here, it’s transforming industries, and frankly, it’s reshaping the ...

Originally published on the Weights & Biases by CoreWeave blog on July 18, 2026. Reinforcement learning (RL) is driving some of the most impressive recent advances in machine learning by enabling ...

Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize ...

Modular reinforcement learning pipeline for legged robot locomotion in Genesis, inspired by Unitree pipelines and designed for scalable sim-to-real transfer.

Agentic RL（具身智能体强化学习）是LLM与强化学习深度融合的工程范式，其核心在于多步推理、工具调用与环境反馈构成的长链条决策过程。不同于传统RL的原子化交互与静态动作空间，Agentic RL ...